https://github.com/kahsolt/water-quality-predict

水质检测指标的时间序列预测
https://github.com/kahsolt/water-quality-predict

Last synced: 5 months ago
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水质检测指标的时间序列预测

• Host: GitHub
• URL: https://github.com/kahsolt/water-quality-predict
• Owner: Kahsolt
• License: mit
• Created: 2023-02-20T14:17:00.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-03-19T05:09:02.000Z (almost 2 years ago)
• Last Synced: 2025-05-07T02:04:14.104Z (9 months ago)
• Language: Python
• Size: 442 KB
• Stars: 4
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# water-quality-predict

    水质检测指标的时间序列预测平台后端

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你妈的😠，说起来是个很简单的toy，但是差不多写了一整套批处理作业框架……  

现在变成一个平台性的作业流了：提交数据集并创建任务 -> 无脑训练若干个预测器 -> 用性能最好的预测器应对新的查询  

### WebApp

> You can launch our flask webapp, train & infer through HTTP requests

Run server:

- start server `python server.py -H  -P ` (default `port=5000`)

- point your browser to `http://127.0.0.1:5000/` for API documentation

- recognized envvars

  - `DEBUG_PLOT`: save intermediate plots during training for debug

  - `LOG_JOB`: log job setting & model details when loading a pretrained job

- run tests

  - unit test: `python test_ut.py`

  - integral test: `python test_st.py` (require server running)

Run client:

- `python client.py -H  -P `

![client](img/client.png)

### Local

> You can also run local command for training, debug inplace-infer results via the demo app

⚪ Data

- prepare your `*.csv` files (suggested to put under `data` folder)

- each file can contain several columns

  - the first columns is datetime in ISO 8601 format, e.g. `2022-09-27 18:00:00.000`

  - the rest columns are float data from your sensor devices

    - the last column is to predict on

⚪ Job & Train

- write a job file, see guide => [doc/job.md](doc/job.md)

- run a single job: `python run.py -D path\to\*.csv -J path\to\*.yaml --target all`

- run folder of jobs: `python run.py -D data\test.csv -X job`

  - see also: `run.cmd`

⚪  Eval

- run demo client app for debug: `python demo.py`

![demo](img/demo.png)

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by Armit

2024/03/15